经验模态分解在直升机谱特征提取中的应用(PDF)
《哈尔滨工程大学学报》[ISSN:1006-6977/CN:61-1281/TN]
- 期数:
- 2010年06期
- 页码:
- 0
- 栏目:
- 出版日期:
- 2010-06-25
文章信息/Info
- Title:
- Application of empirical mode decomposition in helicopternoise spectrum feature extraction
- 作者:
- 刘文海; 李关防
- （1.哈尔滨工程大学水声工程学院，黑龙江哈尔滨150001； 2. 江苏自动化研究所，江苏连云港222006； 3.海军装备部 沈阳地区军事代表局，辽宁沈阳110003）
- Author(s):
- LIU Wenhai; LI Guanfang
- （1. Colledge of Underwater Acoustic Engineering,Harbin Engineering University, Harbin 150001,China;2. Jiangsu Automation Research Institute of CSIC, Lianyungang 222006，China; 3. Department stationed in Shenyang Representative bureau of the Navy Equipment，Shergyang 110003,China)
- 关键词:
- 经验模态分解(EMD); 特征提取; 直升机噪声; 线谱提取
- 分类号:
- TP391
- DOI:
- -
- 文献标识码:
- A
- 摘要:
- 为了更有效地提取直升机辐射噪声的频谱特征，提出了一种基于经验模态分解(EMD)的特征提取算法.仿真研究表明EMD具有突出信号局部特征且余量可表征信号变化趋势的特性，该算法将目标辐射噪声的频谱构成和EMD的特性相结合，将EMD应用于变换域（信号频谱序列）信号分析，有效的实现了信号连续谱的提取.相比于平滑滤波器法须人为选择最优的α值，且提取的连续谱有滞后性的不足，文中所示方法可自适应的提取信号的连续谱，且在准确无滞后地估计连续谱的同时，对线谱有一定的“增益”，为后续的目标识别提供更全面的信息.
参考文献/References
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